3/16/2017 8:06:09 AM
Cloud native apps: Perspectives from Navisite
Cloud Native Applications,Navisite,David Grimes
https://appdevelopermagazine.com/images/news_images/Cloud-Native-Applications-App-Developer-Magazine_a6zd60ah.jpg
App Developer Magazine

Cloud native apps: Perspectives from Navisite



Richard Harris Richard Harris in Cloud Services Thursday, March 16, 2017
19,800

Cloud native apps advice from David Grimes, Vice President of Product Engineering, Navisite.

There is much to be considered in the complex IT ecosystems that support modern enterprises. Just like a clock, each little cog and gear plays a critical role in making sure everything is on time and in working order. Unlike a clock, however, IT environments are far less predictable and must be built with more flexible, scalable parts and pieces to function at an optimal level. The relationship between an IT infrastructure and application is particularly important as they must “communicate” with one another in order to scale and react to changing demand.

Vertical and Horizontal Scaling


Autoscaling is a cloud computing service feature that automatically adds or removes compute resources depending upon actual usage and continues to be considered as a viable approach to deal with these challenges. Microsoft recently outlined the two typical forms of vertical and horizontal scaling currently in use for application aware infrastructures, including:

1. “Vertical Scaling (often referred to as scaling up) requires that you redeploy the solution using different hardware. In a cloud environment the hardware platform is typically a virtualized environment, and vertical scaling involves provisioning more powerful resources for this environment and moving the system onto these new resources. Vertical scaling is often a disruptive process that requires making the system temporarily unavailable while it is being redeployed. It may be possible to keep the original system running while the new hardware is provisioned and brought online, but there will likely be some interruption while the processing transitions from the old environment to the new one.”

2. “Horizontal Scaling (often referred to as scaling out) requires deploying the system on additional resources. The system can continue running without interruption while these resources are provisioned. When the provisioning process is complete, copies of the elements that comprise the system can be deployed on these additional resources and made available. If demand drops, the additional resources can be reclaimed after the elements using them have been shut down cleanly.”

Application Aware Infrastructure


Regardless of whether you choose vertical or horizontal scaling, the truth today is that the world we live in is highly virtualized. And with many new applications being designed as cloud native, there is an opportunity to build these apps so they have an awareness of how they will need to be scaled or adapted from the onset. The most innovative developers need to think about building and architecting apps that can be used in both the horizontal and vertical scenarios to cater to this “application aware infrastructure.” Meaning, the infrastructure should be made aware of the context of the application and the “rules” it should watch through the tooling we refer to as autoscaling.

This “grow forward” model is effective, but there is still a tremendous footprint of legacy applications in use and there is a shortage of development talent that can build in this new world. When I say “legacy,” I don’t just mean older applications that are still in use, but also new apps being designed in a more traditional way. Simply put, autoscaling does not always fit the application, so it may not be able to scale in the ways that the application aware infrastructure enables.
David Grimes

Infrastructure Aware Applications


While the application aware infrastructure model may have less of an impact on the app (aka the app continues to run, while the infrastructure does all the magic behind the scenes), I believe there are limitations to the autoscaling capabilities of infrastructure - particularly when servicing a variety of applications or the nuances of a new application.

As an alternative, I propose infrastructure aware applications. In this model, developers build an application in a way that the app is actually aware of the infrastructure that it’s running on and recognizes that the infrastructure is virtualized and has accessible APIs. The application can look at things that aren’t necessarily infrastructure-centric and can focus on metrics about the application itself. From there, the app can take action on the infrastructure based on its analysis of the environment. This moves the burden of autoscaling from the infrastructure owner to the developers who need to understand the notion that this application will run in this cloud-enabled infrastructure.

Gaining Control


The application infrastructure aware model is still a very viable option - especially as it can provide a quick path to autoscaling - but there are several key limitations with this model. With an infrastructure aware approach, you can purpose-build an application and gain greater control.

While this application-centric approach is still fairly new, savvy developers are able to recognize the significant benefits in the long run. As with any new approach, it will take time to see this shift take place. Just like a clock – it will all happen in good time!

Editors note: Guest submission from David Grimes, VP of Product Engineering at Navisite



Google Cloud Platform in Action

Google Cloud Platform in Action teaches you to build and launch applications that scale, leveraging the many services on GCP to move faster than ever. You'll learn how to choose exactly the services that best suit your needs, and you'll be able to build applications that run on Google Cloud Platform and start more quickly, suffer fewer disasters, and require less maintenance.

Data Science on the Google Cloud Platform

Learn how easy it is to apply sophisticated statistical and machine learning methods to real-world problems when you build on top of the Google Cloud Platform (GCP). This hands-on guide shows developers entering the data science field how to implement an end-to-end data pipeline, using statistical and machine learning methods and tools on GCP. Through the course of the book, you’ll work through a sample business decision by employing a variety of data science approaches.

475 Tax Deductions for Businesses and Self-Employed Individuals

Are you paying more taxes than you have to as a developer or freelancer? The IRS is certainly not going to tell you about a deduction you failed to take, and your accountant is not likely to take the time to ask you about every deduction you’re entitled to. As former IRS Commissioner Mark Everson admitted, “If you don’t claim it, you don’t get it.

A hands-on guide to mastering mobile forensics for iOS and Android

Get hands-on experience in performing simple to complex mobile forensics techniques Retrieve and analyze data stored not only on mobile devices but also through the cloud and other connected mediums A practical guide to leveraging the power of mobile forensics on popular mobile platforms with lots of tips, tricks, and caveats.

Gps tracker for kids

The Chirp GPS app is a top-ranked location sharing app available for Apple and Android that is super easy to use, and most of all, it's reliable.

The Latest Nerd Ranch Guide (3rd Edition) to Android Programming

Write and run code every step of the way, using Android Studio to create apps that integrate with other apps, download and display pictures from the web, play sounds, and more. Each chapter and app has been designed and tested to provide the knowledge and experience you need to get started in Android development.